NVIDIA
NVIDIA
NVIDIA गेमिंग, डेटा सेंटर, क्लाउड कंप्यूटिंग, स्वास्थ्य सेवा, विनिर्माण, ऑटोमोटिव और रोबोटिक्स सहित विभिन्न क्षेत्रों में उपयोग की जाने वाली त्वरित कंप्यूटिंग और कृत्रिम बुद्धिमत्ता प्रौद्योगिकियाँ विकसित करती है। इसका कार्य ग्राफ़िक्स प्रोसेसिंग यूनिट, AI प्लेटफ़ॉर्म, सिमुलेशन और उद्योग-केंद्रित समाधानों तक फैला हुआ है। इनमें सहयोगात्मक 3D वर्कफ़्लो के लिए NVIDIA Omniverse, स्वायत्त वाहन विकास के लिए NVIDIA DRIVE और स्वास्थ्य सेवा अनुप्रयोगों के लिए NVIDIA Clara शामिल हैं। कंपनी उन्नत कंप्यूटिंग, सिमुलेशन और AI-आधारित विश्लेषणों को समर्थन देने वाले बुनियादी ढाँचे और सॉफ़्टवेयर पर काम करने वाली बड़ी तकनीकी टीमों को एक साथ लाती है।

DevOps Engineer, Build and CI/CD – NVIDIA Berlin Onsite

Build and maintain CI/CD automation for NVIDIA’s automotive AI and embedded software. Work across build systems, Docker environments, testing, and release workflows.

विवरण

  • Build, maintain, and optimize CI/CD pipelines for embedded software
  • Promote DevOps and software integration practices across the team and wider organization
  • Monitor CI builds and proactively diagnose and resolve build or test failures
  • Create automation tools for build, testing, and release processes
  • Manage and enhance Docker-based containerized build environments
  • Develop new build configurations as project requirements evolve
  • Partner with development teams to deliver effective builds, tools, and infrastructure

आवश्यकताएँ

  • A strong technical foundation, such as a computer science degree or equivalent professional experience
  • At least five years of experience in DevOps, build engineering, or release engineering
  • Professional experience on embedded software development projects
  • Practical knowledge of build systems such as Bazel and CMake
  • Hands-on scripting experience with Python, Shell, and Bash
  • Extensive experience with CI/CD tools including Jenkins, Gerrit, GitLab, Artifactory, and Docker
  • Strong understanding of Docker and containerization technologies
  • Familiarity with Linux systems and command-line tools
  • Understanding of software engineering and integration practices for embedded development
  • Familiarity with Infrastructure as Code and a strong interest in automation
  • Excellent English communication skills, including the ability to explain technical ideas, designs, and recommendations clearly
  • Hands-on experience with large-scale automotive embedded software programs
  • Experience with ADAS projects and frameworks such as ASPICE and ISO 26262
  • Hands-on experience with Bazel and Gerrit
  • Knowledge of systems programming languages such as C++
  • Experience with web technologies including REST APIs and gRPC

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